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In Part I, a Matching Pursuit LASSO (MPL) algorithm has been presented for solving large-scale sparse recovery (SR) problems. In this paper, we present a subspace search to further improve the performance of MPL, and then continue to address another major challenge of SR—batch SR with many signals, a consideration which is absent from most of previous -norm methods. A batch-mode MPL is developed...
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